Genesis Cloud vs TensorDock: Pricing, Specs, Strengths & Weaknesses

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Genesis Cloud and TensorDock. Rates sourced from public APIs — verify current availability and billing terms before purchasing.

Overview

Attribute

Genesis Cloud

TensorDock

Provider type

Specialist

Marketplace

Founded

2018

2021

Headquarters

Munich, Germany

Boston, MA

Billing model

On-demand, Reserved

Per-second on-demand, Spot, Reserved

Min commitment

None

None (minimum deposit required — check tensordock.com)

Support tier

Community

Community → Pro

Regions

2 regions

4 regions

Strengths & Best For

Genesis Cloud

Genesis Cloud was a European GPU cloud powered by 100% renewable energy from Iceland, offering H100, A100, and L40S instances with EU data residency and GDPR compliance. ⚠️ Warning: genesiscloud.com has returned 522 errors and SSL failures since mid-2025. This provider may be defunct. Verify current status before attempting to use.

Strengths

100% renewable energy from Iceland (when operational)
Carbon-neutral compute
EU data residency and GDPR compliance

Weaknesses

⚠️ Domain unreachable — service may be defunct
No confirmed operational status as of October 2026
No enterprise SLAs or uptime guarantees

Best For

Sustainability-focused EU teams (if service resumes)

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TensorDock

TensorDock is a GPU cloud marketplace connecting users with independent hosts across 100+ global locations. 45+ GPU models from consumer RTX cards to HGX H100 SXM5, including H100 SXM5, A100 SXM4, and RTX 4090. Pay-per-second billing with no minimum commitments, no waitlists, and no quotas. Hosts compete on price, keeping rates among the lowest available. KVM virtualization with root access and dedicated GPUs. Windows 10 support. Voltage Park (merged with Lightning AI) is a TensorDock partner. Customers include Florida State University, airgpu, ELBO, and Creavite.

Strengths

H100 SXM — competitive H100 pricing
A100 SXM and RTX 4090 at competitive marketplace rates
Pay-per-second billing with no minimum commitment
45+ GPU models from consumer to H100
100+ global locations across 20+ countries
No waitlists or quotas — low minimum deposit to start

Weaknesses

Marketplace model — hardware quality varies by host
No enterprise SLAs or uptime guarantees
Limited support for complex distributed training

Best For

Budget AI training and fine-tuningBatch inference workloadsTeams needing wide GPU varietyResearchers avoiding waitlistsCost-sensitive multi-region deployments

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